Epidemiological shifts of invasive fungal infections in the current era of haematology

We aim to describe the epidemiology and risk factors for invasive fungal infections (IFI) and invasive mould infections (IMI) in hospitalized hematologic patients within the context of current hematologic therapies. Retrospective observational cohort study conducted on consecutive hematologic patients admitted to a tertiary hospital (2020-2023). Two populations were analysed: the full cohort of hospitalized patients (FC) and the subset of patients for whom mycological testing was specifically requested to rule out an IFI (SC). Proven or probable IFI was classified using European Organization for Research and Treatment of Cancer criteria. Risk factors for IFI and IMI were identified. A total of 1975 patients were included in the FC, whereas 1154 were included in the SC. IFI was diagnosed in 64 patients (65 episodes), and IMI in 43 patients (44 episodes). Aspergillosis was the most common IFI (58.4%), followed by candidemia (18.5%), Pneumocystis jirovecii pneumonia (PJP) (15.4%), mucormycosis (6.2%), and fusariosis (4.6%). Independent risk factors for IFI in the FC included acute leukemia (aOR 2.40, 95% CI 1.37-4.10, P = .002), corticosteroid use (aOR 2.36, 95% CI 1.40-4.03, P = .001) and graft versus host disease (GVHD) (aOR 2.13, 95% CI 0.93-4.46, P = .05). For IMI, risk factors were acute leukemia (aOR 2.71, 95% CI 1.33-5.52, P = .006), corticosteroid use (aOR 1.96, 95% CI 0.98-4.03, P = .05) and chronic lung disease (aOR 2.25, 95% CI 1.06-4.5, P = .02). In the SC, corticosteroid use (aOR 2.45, 95% CI 1.44-4.25, P = .001) was the independent risk factor for IFI, and corticosteroid use (aOR 2.40, 95% CI 1.21-4.91, P = .01) and GVHD (aOR 2.95, 95% CI 1.23-6.52, P = .009) were independent factors associated with IMI. Mortality was significantly higher in IFI patients compared to non-IFI patients (51.6% vs. 20.3%, P < .001). In this new era of haematology, the epidemiology of IFI is shifting, with Pneumocystis, Mucorales, and Fusarium becoming more prevalent. While corticosteroids and GVHD remain key risk factors, factors such as chronic lung disease are increasing its importance. Prolonged neutropenia may have decreased in relevance, likely due to prophylaxis. Preventing PJP has become a new challenge in IFI management.

Authors

Institutions

Publication Details

Journal
Medical Mycology
Published
2025-07-24
DOI
https://doi.org/10.1093/mmy/myaf070
Citations
2
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
2.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiological shifts of invasive fungal infections in the current era of haematology

Emmanuelle Gras, Patricia Monzó, Àlex Soriano, Olivier Peyrony et al.
2 citations
Medical Mycology
Antifungal resistance and susceptibility
2.79
article

Epidemiological shifts of invasive fungal infections in the current era of haematology

Emmanuelle Gras, Patricia Monzó, Àlex Soriano, Olivier Peyrony, Mariana Chumbita, Mateu Espasa, Tommaso Francesco Aiello, Francesc Marco, Laura Magnano, Carolina García‐Vidal, Marta Bodro, Ana Martínez-Urrea, Sabina Herrera, María Suárez‐Lledó, Antonio Gallardo‐Pizarro, Christian Teijón‐Lumbreras
article en
2 citations

Abstract

We aim to describe the epidemiology and risk factors for invasive fungal infections (IFI) and invasive mould infections (IMI) in hospitalized hematologic patients within the context of current hematologic therapies. Retrospective observational cohort study conducted on consecutive hematologic patients admitted to a tertiary hospital (2020-2023). Two populations were analysed: the full cohort of hospitalized patients (FC) and the subset of patients for whom mycological testing was specifically requested to rule out an IFI (SC). Proven or probable IFI was classified using European Organization for Research and Treatment of Cancer criteria. Risk factors for IFI and IMI were identified. A total of 1975 patients were included in the FC, whereas 1154 were included in the SC. IFI was diagnosed in 64 patients (65 episodes), and IMI in 43 patients (44 episodes). Aspergillosis was the most common IFI (58.4%), followed by candidemia (18.5%), Pneumocystis jirovecii pneumonia (PJP) (15.4%), mucormycosis (6.2%), and fusariosis (4.6%). Independent risk factors for IFI in the FC included acute leukemia (aOR 2.40, 95% CI 1.37-4.10, P = .002), corticosteroid use (aOR 2.36, 95% CI 1.40-4.03, P = .001) and graft versus host disease (GVHD) (aOR 2.13, 95% CI 0.93-4.46, P = .05). For IMI, risk factors were acute leukemia (aOR 2.71, 95% CI 1.33-5.52, P = .006), corticosteroid use (aOR 1.96, 95% CI 0.98-4.03, P = .05) and chronic lung disease (aOR 2.25, 95% CI 1.06-4.5, P = .02). In the SC, corticosteroid use (aOR 2.45, 95% CI 1.44-4.25, P = .001) was the independent risk factor for IFI, and corticosteroid use (aOR 2.40, 95% CI 1.21-4.91, P = .01) and GVHD (aOR 2.95, 95% CI 1.23-6.52, P = .009) were independent factors associated with IMI. Mortality was significantly higher in IFI patients compared to non-IFI patients (51.6% vs. 20.3%, P < .001). In this new era of haematology, the epidemiology of IFI is shifting, with Pneumocystis, Mucorales, and Fusarium becoming more prevalent. While corticosteroids and GVHD remain key risk factors, factors such as chronic lung disease are increasing its importance. Prolonged neutropenia may have decreased in relevance, likely due to prophylaxis. Preventing PJP has become a new challenge in IFI management.

Medical MycologyVol. 63(8)
Inserm (FR), Sorbonne Université (FR), Departament de Salut (ES), Hospital Clínic de Barcelona (ES), Institut Pierre Louis d‘Épidémiologie et de Santé Publique (FR), Hôpital Saint-Louis (FR)
Good health and well-being
Openalex Percentile: Top 9%
Antifungal resistance and susceptibility
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.